What is he best known for?
The fields of study he is best known for:
- Computer network
- Operating system
- The Internet
Kin K. Leung mostly deals with Computer network, Wireless network, Wireless, Real-time computing and Mathematical optimization.
The Computer network study combines topics in areas such as Relay, Transmission and Wireless communication systems.
The various areas that he examines in his Wireless network study include Transmitter, Network performance and Distributed computing.
His Wireless research is multidisciplinary, relying on both Wireless sensor network, Routing protocol and Access control.
His studies in Real-time computing integrate themes in fields like Packet segmentation, Hidden node problem, Packet analyzer, RSS and Fragmentation.
His Mathematical optimization research is multidisciplinary, incorporating perspectives in Stochastic modelling, Resource allocation, Telecommunications network, Queue and Traffic model.
His most cited work include:
- A survey on the ietf protocol suite for the internet of things: standards, challenges, and opportunities (558 citations)
- MAC Essentials for Wireless Sensor Networks (464 citations)
- Adaptive Federated Learning in Resource Constrained Edge Computing Systems (417 citations)
What are the main themes of his work throughout his whole career to date?
Kin K. Leung mainly investigates Computer network, Distributed computing, Wireless network, Wireless and Communication channel.
His Computer network research includes elements of Relay, Real-time computing and Throughput.
His Distributed computing research includes themes of Scalability, Resource allocation, Wireless ad hoc network, Network topology and Node.
His Resource allocation research incorporates themes from Resource and Mathematical optimization.
His Wireless study incorporates themes from Quality of service, Wireless sensor network and Routing protocol.
His Wireless sensor network research is multidisciplinary, incorporating elements of Energy consumption and Efficient energy use.
He most often published in these fields:
- Computer network (53.83%)
- Distributed computing (22.07%)
- Wireless network (21.40%)
What were the highlights of his more recent work (between 2015-2021)?
- Distributed computing (22.07%)
- Mathematical optimization (9.91%)
- Resource (4.28%)
In recent papers he was focusing on the following fields of study:
Kin K. Leung focuses on Distributed computing, Mathematical optimization, Resource, Computer network and Energy consumption.
His Distributed computing study integrates concerns from other disciplines, such as Scalability, Synchronization, Control theory, Scheduling and Reinforcement learning.
His Mathematical optimization study which covers Telecommunications network that intersects with Network topology and Node.
His work carried out in the field of Computer network brings together such families of science as Wireless ad hoc network and Robustness.
His research on Energy consumption also deals with topics like
- Efficient energy use together with Cache, Computation and Wireless,
- Optimization problem which is related to area like Wireless sensor network and Reduction.
Kin K. Leung works in the field of Wireless, namely Wireless network.
Between 2015 and 2021, his most popular works were:
- Adaptive Federated Learning in Resource Constrained Edge Computing Systems (417 citations)
- A Survey of Indoor Localization Systems and Technologies (398 citations)
- When Edge Meets Learning: Adaptive Control for Resource-Constrained Distributed Machine Learning (189 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- Operating system
- The Internet
His primary areas of investigation include Distributed computing, Enhanced Data Rates for GSM Evolution, Efficient energy use, Edge device and Mathematical optimization.
Kin K. Leung interconnects Scalability, Service, Wireless network, Control theory and Reinforcement learning in the investigation of issues within Distributed computing.
His research integrates issues of Energy consumption and Real-time computing in his study of Efficient energy use.
His research in Mathematical optimization intersects with topics in Network tomography, Network topology and Identifiability.
In Identifiability, Kin K. Leung works on issues like Robustness, which are connected to Computer network, Cluster analysis, Base station, Vehicular ad hoc network and Backup.
Many of his studies on Wireless apply to Communication channel as well.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
